Looker
Looker is a modern business intelligence software providing a unified data model and real-time exploration tools to help you turn complex database information into actionable business insights.
Seeq
Seeq is an advanced analytics software platform designed for process manufacturing industries to rapidly investigate and share insights from time-series data stored in historians and cloud data stores.
Quick Comparison
| Feature | Looker | Seeq |
|---|---|---|
| Website | looker.com | seeq.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 0 days free trial | ✘ No free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2012 | 2013 |
| Headquarters | Santa Cruz, USA | Seattle, USA |
Overview
Looker
Looker helps you explore and analyze your data through a centralized, governed lens. Instead of dealing with fragmented reports, you use a unique modeling language called LookML to define your business logic once and apply it across your entire organization. This ensures everyone works from a single version of the truth, whether you are building complex dashboards or performing ad-hoc data discovery.
You can integrate your data directly into your daily workflows by sending alerts to Slack or triggering actions in other applications. The platform is designed for data-driven teams in mid-market and enterprise companies who need to scale their analytics without losing consistency. By connecting directly to your SQL database, it eliminates the need for data extracts and provides real-time visibility into your business performance.
Seeq
Seeq provides you with advanced analytics tools specifically built for process manufacturing data. Instead of spending days manually cleaning data in spreadsheets, you can connect directly to your historians and IoT platforms to visualize trends and identify root causes in minutes. You can easily search through years of data to find specific operation patterns or equipment failures across your entire enterprise.
The platform enables your engineers to collaborate in real-time using shared workbooks and automated reports. You can build predictive models to anticipate maintenance needs and optimize production yield without requiring a background in data science. It is designed for heavy industries like oil and gas, pharmaceuticals, and chemicals where high-frequency time-series data is critical for daily decision-making.
Overview
Looker Features
- LookML Modeling Define your business metrics once in a centralized layer so every department stays aligned on the same data definitions.
- Real-time Dashboards Create live, interactive visualizations that update instantly as your underlying database changes—no manual refreshes required.
- Embedded Analytics Deliver data insights directly within your own applications or websites to provide value to your customers and partners.
- Data Actions Take immediate action on your insights by triggering workflows in external tools like Salesforce or Zendesk directly from Looker.
- Git Integration Manage your data models like code with built-in version control, allowing your team to collaborate safely on complex analytics.
- Looker Blocks Jumpstart your analysis with pre-built code patterns for common data sources like Google Ads, Salesforce, and Snowflake.
Seeq Features
- Workbench Analytics. Identify trends and calculate KPIs across massive time-series datasets using an intuitive point-and-click interface.
- Organizer Reports. Create dynamic documents and dashboards that update automatically as new process data flows into your system.
- Data Lab. Access the power of Python libraries to build custom machine learning models and advanced data science workflows.
- Pattern Search. Find specific process conditions or equipment behaviors instantly across months of data to replicate best practices.
- Predictive Modeling. Build and deploy regression models to forecast future performance and prevent costly unplanned downtime.
- Contextualization. Overlay data from different sources like SQL databases and historians to see the full story behind your operations.
Pricing Comparison
Looker Pricing
Seeq Pricing
Pros & Cons
Looker
Pros
- Centralized modeling ensures data consistency across teams
- Powerful drill-down capabilities for deep data exploration
- Seamless integration with the Google Cloud ecosystem
- Highly customizable visualizations for complex reporting needs
- Strong community support and extensive technical documentation
Cons
- Requires knowledge of LookML for initial setup
- Pricing can be high for smaller organizations
- Steep learning curve for non-technical administrators
- Performance depends heavily on your underlying database
Seeq
Pros
- Rapidly cleans and aligns messy time-series data
- Eliminates the need for manual spreadsheet calculations
- Excellent collaboration features for remote engineering teams
- Direct connection to major industrial data historians
- Intuitive interface for non-data scientists
Cons
- Requires a significant initial time investment
- Pricing is not transparent for small teams
- Advanced Python features require coding knowledge